Yu-Xin Guo, Jun-Long Lan, Yu-Xuan Song, Wen-Qin Bu, Yu Tang, Zi-Xuan Wu, Hao-Tian Meng, Di Wu, Hui Yang, Yu-Cheng Guo
BACKGROUND & OBJECTIVE: Sex estimation is a critical aspect of forensic expertise. Some special anatomical structures, such as the maxillary sinus, can still maintain integrity in harsh environmental conditions and may be served as a basis for sex estimation. Due to the complex nature of sex estimation, several studies have been conducted using different machine learning algorithms to improve the accuracy of sex prediction from anatomical measurements. MATERIAL & METHODS: In this study, linear data of the maxillary sinus in the population of northwest China by using Cone-Beam Computed Tomography (CBCT) were collected and utilized to develop logistic, K-Nearest Neighbor (KNN), Support Vector Machine (SVM) and random forest (RF) models for sex estimation with R 4...
May 18, 2024: International Journal of Legal Medicine